Picklescan Vulnerability: Remote Code Execution Risk

Agent-Assisted Syndrome Decoding. Agents using ML to predict and preemptively correct 4D geometric code failures. Skills: Python, Qiskit. https://lnkd.in/emtA2Fat #MLOps #SyndromeDecoding #Resilience

Single-threaded scripts are too slow. Python's `multiprocessing` or `asyncio` is mandatory for large datasets. Scraping 1 URL = 1 second. Scraping 10,000 URLs sequentially = 3 hours. Scraping 10,000 URLs with 10 workers = 18 minutes. Learn concurrency. Asyncio or Threading? What do you use? #python #performance #coding #scaling

🔐 Task 3 – Password Generator (Python) Built a password generator that creates strong, random passwords using letters, numbers, and special characters. This project helped me learn about randomization and string manipulation in Python.

DAY 4 🚀 #30daysofcoding PYTHON Q : WORD COUNT Write a program that reads a sentence S and prints the frequency of each word in the given sentence. Note.. 📒 If the given sentence S is Hello world Hello, * The frequency of Hello in the given sentence is twice. * The frequency of world in the given sentence. Input 👈 ------ The input will be a single line containing a string representing a sentence 'S'. Output 👈 ------- The output should be multiple lines with each line containing a word and its frequency in the given sentence seperated by colon-character ( : ) with the order of appearance in the given sentence. #python #ccbp #nxtwave #30daysoflearning

🚨 High Risk Alert! Picklescan, a popular tool used in PyTorch models, is vulnerable to Remote Code Execution (RCE). Attackers can craft malicious pickle files that go undetected by the library, leading to potential system compromise when loaded. Stay safe and update your systems! #Picklescan #Python #RCE #OWASP #APIsecurity 🚨 https://lnkd.in/gQB8UgP9

Feature engineering doesn’t have to be complex. These 5 Python scripts help you create meaningful features that improve model performance. https://lnkd.in/eSZEjpzQ

📘 Python Operators – Part 1 covers: ✔ Arithmetic Operators (+ - * / // % **) ✔ Assignment Operators (= += -= *= /=) ✔ Clear examples with outputs ✔ Important concepts like division vs floor division 💡 Operators are the building blocks of every Python program. If you understand these well, everything else becomes easier. 📌 Quick check: What will be the final value of x? x = 5 x *= 3 x += 2 👉 Answer in comments. Follow for regular beginner-friendly Python content. #Python #LearnPython #PythonBasics #Programming #CodingForBeginners #100DaysOfCode

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗙𝗶𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗲𝗿𝗰𝗲𝗻𝘁𝗮𝗴𝗲 | 𝗗𝗮𝘆 𝟭𝟭 This Python question fails candidates who skip the details. Day 11 of my Python Daily Challenge 🚀 At first glance, today’s task felt straightforward: 👉 Store student marks 👉 Fetch one student 👉 Print the average 𝗕𝘂𝘁 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗵𝗶𝗱𝗲 𝘁𝗿𝗮𝗽𝘀 𝗶𝗻 𝘀𝗺𝗮𝗹𝗹 𝗶𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 👇 • Dictionary key–value understanding • Iterating over values correctly • Formatting output to exact decimal places 💡 Interview pattern from Day 11: A correct calculation can still fail if your output format is wrong. That’s why I’m practicing Python fundamentals daily — not just to solve problems, but to solve them precisely. Have you ever lost marks because of formatting? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

Self-Tuning Quantum Models. Agents using Bayesian loops to refine hyper-parameters for virtualized QML models. Skills: Python, scikit-learn. https://lnkd.in/emtA2Fat #AutoML #MachineLearning #QML